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Applying data mining algorithms to microarray data analysis is an interesting and promising work. Gene Expression Programming (GEP) is a new development of evolution computation. GEP performs global search and discover the classification discriminant with high accuracy. However, it is undesirable to apply GEP on microarray classification directly, since the evolution efficiency of GEP is low when...
The k-nearest neighbor(k-NN) is improved by applying rough set and distance functions with relearning and ensemble computations to classify data with the higher accuracy values. Then, the proposed relearning and combining ensemble computations are an effective technique for improving accuracy. We develop a new approach to combine kNN classifier based on rough set and distance functions with relearning...
Genetic programming (GP), is a very general and efficient technique, often capable of outperforming more specialized techniques on a variety of tasks. In this paper, we suggest a straightforward novel algorithm for post-processing of GP classification trees. The algorithm iteratively, one node at a time, searches for possible modifications that would result in higher accuracy. More specifically, the...
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